photo

long le


Last seen: nästan 4 år ago |  Active since 2018

Followers: 0   Following: 0

Statistics

  • Thankful Level 1

View badges

Feeds

View by

Question


MATLAB - Signal Noise Ratio
I have a damped sine wave which is a emitted signal as below: x = x = A*exp(-t).*sin(2*pi*f*t); And I define a received signal...

ungefär 4 år ago | 0 answers | 0

0

answers

Question


MATLAB - Delay sine wave
I have a damped sine wave as below: N=250; Fs=20; Ts=1/Fs; t=(0:N-1)*Ts; A = 3; f = 1; x = A*exp(-t).*sin(2*pi*f*t);...

ungefär 4 år ago | 1 answer | 0

1

answer

Question


delay sine wave and correlation
Simulate in Matlab/Python a damped sine wave as the emitted signal (x(n). The damped signal can be obtained by multiplying a sin...

ungefär 4 år ago | 0 answers | 0

0

answers

Question


CALCULATE norms: l2 and l1 distances
I have two vector with different size x=[1; 2; 5; 6; 1; 9; -5 ]; y=[1; -2; 3; 1; 0; -3 ]; How can I calculate the distance l1...

ungefär 4 år ago | 1 answer | 0

1

answer

Question


Write an image processing algorithm that measures the surface area of the green pills in pixels
Considering the image ‘pills2’, write an image processing algorithm that measures the surface area of the green pills in pixels....

ungefär 4 år ago | 1 answer | 0

1

answer

Question


MATLAB CODING - SIGNAL CONVOLUTION
I have a convolution operator as a linear system which transforms a signal x(n) into a signal y(n) through an impulse response h...

ungefär 4 år ago | 1 answer | 0

1

answer

Question


Frequency domain and Shannon limit
Hi all, I am a newbie in MATLAB coding. I have some questions related to frequency domain. I have an sine wave equation as be...

ungefär 4 år ago | 1 answer | 0

1

answer

Question


Generate and represent a sine wave in Matlab
Hi every one, I am a newbie in Matlab, I have a question as below. Anyone can help me to do it in Matlab, or give me some guid...

ungefär 4 år ago | 0 answers | 0

0

answers

Question


Anyone may help me with this (Image texturing and segmentation)
1. Segment your medical image to 150 super pixels using the k-means algorithm. 2. Compute on each super-pixel the texture fea...

mer än 6 år ago | 0 answers | 0

0

answers